DocumentCode
789730
Title
Nonlinear noise cancellation for image with adaptive neuro-fuzzy inference systems
Author
Qin, H. ; Yang, S.X.
Author_Institution
Sch. of Eng., Univ. of Guelph, Ont., Canada
Volume
41
Issue
8
fYear
2005
fDate
4/14/2005 12:00:00 AM
Firstpage
474
Lastpage
475
Abstract
The adaptive neural-fuzzy inference system (ANFIS) algorithm is proposed for nonlinear noise cancellation of images. The quality in terms of mean square error of image restoration using the proposed ANFIS is over 65 times better for Gaussian noise and 500 times better for salt and pepper noise than using conventional filtering systems.
Keywords
Gaussian noise; adaptive systems; fuzzy reasoning; image denoising; image restoration; neural nets; ANFIS; Gaussian noise; adaptive neural-fuzzy inference system; image noise cancellation; image restoration; mean square error; membership functions; nonlinear noise cancellation; salt and pepper noise;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20057770
Filename
1425353
Link To Document